Consider the linear system Ax = b, where A β C NΓN is a singular matrix. In the present work we propose a general framework within which Krylov subspace methods for Drazininverse solution of this system can be derived in a convenient way. The Krylov subspace methods known to us to date treat only th
β¦ LIBER β¦
Orthogonal polynomials and semi-iterative methods for the Drazin-inverse solution of singular linear systems
β Scribed by Avram Sidi; Yuliya Kanevsky
- Publisher
- Springer-Verlag
- Year
- 2003
- Tongue
- English
- Weight
- 193 KB
- Volume
- 93
- Category
- Article
- ISSN
- 0029-599X
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## Abstract General stationary iterative methods with a singular matrix __M__ for solving rangeβHermitian singular linear systems are presented, some convergence conditions and the representation of the solution are also given. It can be verified that the general OrtegaβPlemmons theorem and Keller
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